Join to apply for the AI Data Scientist role at Razer Inc.
Joining Razer will place you on a global mission to revolutionize the way the world games.
Razer is a place to do great work , offering you the opportunity to make an impact worldwide while working across a team located on 5 continents.
Razer is also a great place to work, providing a unique, gamer-centric experience that fosters both personal and professional growth.
Job Responsibilities
- Research, design, and implement rewards-based agents using Reinforcement Learning (RL) for testing gaming applications.
- Develop and optimize agents and RAG-based solutions for dynamic content creation, adaptive player interactions, and enhanced gaming experiences.
- Collaborate with game developers, designers, and engineers to integrate AI models into game development workflows.
- Build and optimize AI-powered gaming tools to create immersive and dynamic player experiences.
- Develop and fine-tune models to improve AI in gaming applications.
- Analyze and preprocess game data, training AI models for better in-game decision-making.
- Stay updated on AI advancements in gaming to keep solutions state-of-the-art.
- Evaluate model performance through experimentation and benchmarking to improve efficiency and scalability.
- Assist in deploying, monitoring, and maintaining AI models in production.
- Document research, methodologies, and findings for internal and external sharing.
Pre-Requisites
- Strong expertise in Reinforcement Learning (RL), Generative AI, and RAG.
- Proficiency in Python, with experience in PyTorch or TensorFlow.
- Experience with game engines like Unity or Unreal Engine is a plus.
- Familiarity with LLMs, transformers, diffusion models, and self-learning AI systems.
- Experience in training and fine-tuning large-scale AI models.
- Experience with cloud AI deployment (AWS, GCP, Azure).
- Strong problem-solving skills and ability to translate research into practical solutions.
- Excellent communication skills for collaboration with diverse teams.
- Passion for gaming and understanding of game mechanics and AI-driven storytelling.
Education & Experience
- Master’s or PhD in Computer Science, AI, Machine Learning, or related fields.
- At least 1 year of experience in AI research or applied machine learning, preferably in gaming or interactive media.
Travel Requirements
This role is based in Singapore, with occasional travel (up to 1 trip per year) for conferences, collaborations, or meetings.
Additional Details
- Seniority Level: Entry level
- Employment Type: Full-time
- Job Function: Engineering and IT
- Industry: Computers and Electronics Manufacturing
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